Lean Six Sigma Green Belt Certification Training

Comprehensive training and exam preparation to achieve Green Belt Certification with the International Association of Six Sigma Certification (IASSC) – the most highly regarded independent global Green Belt Certification.

This course is very comprehensive and doesn't require any pre-requisite training. You will learn the foundation skills and develop up to the Green Belt level as part of this intensive 5-day course. However, this training does move quickly and covers a lot of in-depth information in great detail.

For participants focused on Certification preparation, it is important to know that the IASSC Global Certification is exam based. Which means you can sit the exam and become certified as soon as you have successfully passed the exam which is based on global benchmarks.

Please click on the Public Class tab below to view our Lean Six Sigma Green Belt Certification course schedule by city or click the In-House Training tab to receive a free quote for courses delivered at your preferred location.

Course Outline - Lean Six Sigma Green Belt Certification Training

Foreword:

The Lean Six Sigma Green Belt Certification is a highly respected credential - it means you have demonstrated a level of mastery of specific methodologies and techniques required to help drive Continuous Improvement projects that have measurable, commercially focused outcomes.

This certified training course will provide you with the theory and then the opportunity to practice the techniques to help you reach the standard of Lean Six Sigma - Green Belt.

You will be supported by Australia's leading trainers and become part of a global network of Six Sigma and Continuous Improvement specialists through pd training and the IASSC.

LSS Green Belt Define Phase

Phase Description:

The Define Phase of the DMAIC methodology is constructed to introduce the fundamentals of Lean Six Sigma. There are five modules in this phase:

Understanding Six Sigma

Describe the objectives of Six Sigma

Describe the relationship between variation and sigma

Recognise some Six Sigma concepts

Recognise the Six Sigma implementation model

Describe your role and responsibilities in Six Sigma

Six Sigma Fundamentals

Describe what is meant by “Process Focus”

Describe the importance of VOC, VOB, and VOE, and CTQ’s

Explain COPQ

Generate a Process Map

Describe the Basic Six Sigma metrics

Explain the difference between FTY and RTY

Explain the difference between DPU and DPMO

Selecting Projects

Utilise a structured approach to select projects

Refine and Define the problem into a Project Charter

Make an initial estimate of your project’s benefits

Elements of Waste

Have a clear understanding of the specific deliverables

Have started to develop a Project Plan to meet the deliverables

Have identified ways to deal with potential roadblocks

Be ready to apply the Six Sigma method through your project

Wrap Up & Action Items

LSS Green Belt Measure Phase

Phase Description:

The Measure Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for characterising your business issues. There are six modules in this phase:

Welcome to Measure

Process Discovery

Create a high level Process Map

Create a Fishbone Diagram

Create an X-Y Diagram

Describe the elements of a FMEA

Explain the importance of a FMEA

Describe why each tool is important

Six Sigma Statistics

Explain the various statistics used to express location and spread of data

Describe the characteristics of a Normal Distribution

Test for Normality

Describe the difference between Special Cause and Common Cause Variation

Generate a variety of graphs for data

Measurement System Analysis

Perform the step by step methodology in Variable and Attribute MSA’s

Identify the various components of variation so corrections can be made and the gage error reduced

Recognise the differences between Repeatability, Reproducibility, Accuracy and Calibration

Process Capability

Estimate Capability for Continuous Data

Describe the impact of Non-normal Data on the analysis presented in this module for Continuous Capability

Estimate Capability for Attribute Data

Wrap Up & Action Items

LSS Green Belt Analyse Phase

Phase Description:

The Analyse Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for isolating critical factors. There are nine modules in this phase:

Welcome to Analyse

“X” Sifting

Perform a Multi-Vari Analysis

Interpret and a Multi-Vari Graph

Identify when a Multi-Vari Analysis is applicable

Interpret what Skewed data looks like

Explain how data distributions become Non-normal when they are really Normal

Inferential Statistics

Explain the meaning of the term “Inferential Statistics”.

Describe the basic tenets of the Central Limit Theorem.

Describe the impact of sample size on your estimates of population parameters.

Explain Standard Error

Intro to Hypothesis Testing

Articulate the purpose of Hypothesis Testing

Explain the concepts of the Central Tendency

Be familiar with the types of Hypothesis Tests

Hypothesis Testing Normal Data Part 1

Determine appropriate sample sizes for testing Means

Conduct various Hypothesis Tests for Means

Properly Analyse Results

Hypothesis Testing Normal Data Part 2

Be able to conduct Hypothesis Testing of Variances

Understand how to Analyse Hypothesis Testing Results

Hypothesis Testing Non-Normal Data Part 1

Conduct Hypothesis Testing for equal variance

Conduct Hypothesis Testing for Medians

Analyse and interpret the results

Hypothesis Testing Non-Normal Data Part 2

Calculate and explain test for proportions

Calculate and explain contingency tests

Wrap Up & Action Items

LSS Green Belt Improve Phase

Phase Description:

The Improve Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions. There are five modules in this phase:

Welcome to Improve

Process Modeling Regression

Perform the steps in a Correlation and a Regression Analysis

Explain when Correlation and Regression is appropriate

Advanced Process Modeling

Perform Non-Linear Regression Analysis

Perform Multiple Linear Regression Analysis (MLR)

Examine Residuals Analysis and understand its effects

Designing Experiments

Determine the reason for experimenting

Describe the difference between a physical model and a DOE model

Explain an OFAT experiment and its primary weakness

Shown Main Effects Plots and interactions, determine which effects and interactions may be significant

Create a Full Factorial Design

Wrap Up & Action Items

LSS Green Belt Control Phase

Phase Description:

The Control Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions. There are eight modules in this phase:

Welcome to Control

Advanced Experiments

Use the results of a DOE to determine how to further optimise a process using the steepest ascent/descent method

Capability Analysis

Understand the importance of Capability Analysis as it is applied in the Control Phase

Select the appropriate method for Capability Analysis based on the type of data distribution of your process

Interpret the output of MINITAB’s Capability functions

Understand how the use for Capability Analysis may alter through the DMAIC phases

Lean Controls

Describe Lean tools

Understand how these tools can help with project sustainability

Understand how the Lean tools depends on each other

Understand how tools must document the defect prevention created in the Control Phase

Defect Controls

Describe some methods of defect prevention

Understand how these techniques can help with project sustainability

Including reducing those outliers as seen in the Advanced Process Capability section

If the vital X was identified, prevent the cause of defective Y

Understand what tools must document the defect prevention created in the Control Phase

Statistical Process Control - SPC

Describe the elements of an SPC Chart and the purposes of SPC

Understand how SPC ranks in defect prevention

Describe the 9 Step route or methodology of implementing a chart

Design subgroups if needed for SPC usage

Determine the frequency of sampling

Understand the Control Chart selection methodology

Be familiar with Control Chart parameter calculations such as UCL, LCL and the Center Line

They see immediate impact back at work

The course is tailored to their goals - and the needs of the participants.
The trainer consults with the manager before each class, and tailors the course based on the goals of the manager AND the participants.

Great feedback!
They get great feedback, and their staff get skills they can use right away

The training is full of activities to make the day fun, and reinforce the concepts. People learn more and give great feedback.

A fresh and effective training experience

The connected classroom experience is not only 'cool' it is a richer learning experience.
The connected classroom gives training initiatives 'a buzz' and achieves better outcomes.We use tablets in class - BYOD or we can provide them at 50% off recommended retail price.

Reinforcement

The training tends to 'stick' because of the wide variety of reinforcement and support options available on-demand through PC's and mobile devices.

Training Management App

Costing, planning, administering and reporting on training is easier and faster than ever before.
The Training Management Centre takes training administration to the cloud, and improves reporting and transparency like never before.
Accessible from Windows, iOS and Android devices.

Certification Options

Post-Class Competency Assessment & Certificate

As an Accredited Training Organisation for Six Sigma, pd training will offer you
the opportunity to take an assessment at the end of your class that validates your
knowledge and understanding of this Lean Six Sigma belt standard – mapping
to the corresponding IASSC Belt Certification.

The pd training Six Sigma Green Belt eLearning course is structured to teach the problem-solving methodology so trainees gain an in-depth understanding of the Lean Six Sigma process and how to apply the methodology to projects as opposed to how to use a specific set of tools.

The materials cover theory and are supplemented with step-by-step examples, using Minitab or SigmaXL.

Trainees build a thorough understanding of when and why they should perform an action (2 sample t-test for example) how to perform that action and how to properly interpret the result of the output in both a "statistical" and "practical" sense.

Alignment to Lean Six Sigma Industry Standards

Pd training is recognised by the International Association for Six Sigma Certification (IASSC) as an Accredited Provider. This means that the pd training eLearning Belt courses are highly aligned to the IASSC Bodies of Knowledge.

In addition an independent study conducted in coordination with Bearing Point Consulting determined that the pd training curriculum matched the DMAIC ASQ Body of Knowledge to a degree greater that 90%.

What's covered in this Lean Six Sigma eLearning course?

LSS Green Belt Define Phase

Phase Description:

The Define Phase of the DMAIC methodology is constructed to introduce the fundamentals of Lean Six Sigma. There are five modules in this phase:

Understanding Six Sigma

Describe the objectives of Six Sigma

Describe the relationship between variation and sigma

Recognize some Six Sigma concepts

Recognize the Six Sigma implementation model

Describe your role and responsibilities in Six Sigma

Six Sigma Fundamentals

Describe what is meant by “Process Focus”

Describe the importance of VOC, VOB, and VOE, and CTQ’s

Explain COPQ

Generate a Process Map

Describe the Basic Six Sigma metrics

Explain the difference between FTY and RTY

Explain the difference between DPU and DPMO

Selecting Projects

Utilize a structured approach to select projects

Refine and Define the problem into a Project Charter

Make an initial estimate of your project’s benefits

Elements of Waste

Have a clear understanding of the specific deliverables

Have started to develop a Project Plan to meet the deliverables

Have identified ways to deal with potential roadblocks

Be ready to apply the Six Sigma method through your project

LSS Green Belt Measure Phase

Phase Description:

The Measure Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for characterizing your business issues. There are six modules in this phase:

Welcome to Measure

Process Discovery

Create a high level Process Map

Create a Fishbone Diagram

Create an X-Y Diagram

Describe the elements of a FMEA

Explain the importance of a FMEA

Describe why each tool is important

Six Sigma Statistics

Explain the various statistics used to express location and spread of data

Describe the characteristics of a Normal Distribution

Test for Normality

Describe the difference between Special Cause and Common Cause Variation

Generate a variety of graphs for data

Measurement System Analysis

Perform the step by step methodology in Variable and Attribute MSA’s

Identify the various components of variation so corrections can be made and the gage error reduced

Recognize the differences between Repeatability, Reproducibility, Accuracy and Calibration

Process Capability

Estimate Capability for Continuous Data

Describe the impact of Non-normal Data on the analysis presented in this module for Continuous Capability

Estimate Capability for Attribute Data

LSS Green Belt Analyze Phase

Phase Description:

The Analyze Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for isolating critical factors. There are nine modules in this phase:

Welcome to Analyze

“X” Sifting

Perform a Multi-Vari Analysis

Interpret and a Multi-Vari Graph

Identify when a Multi-Vari Analysis is applicable

Interpret what Skewed data looks like

Explain how data distributions become Non-normal when they are really Normal

Inferential Statistics

Explain the meaning of the term “Inferential Statistics”.

Describe the basic tenets of the Central Limit Theorem.

Describe the impact of sample size on your estimates of population parameters.

Explain Standard Error

Intro to Hypothesis Testing

Articulate the purpose of Hypothesis Testing

Explain the concepts of the Central Tendency

Be familiar with the types of Hypothesis Tests

Hypothesis Testing Normal Data Part 1

Determine appropriate sample sizes for testing Means

Conduct various Hypothesis Tests for Means

Properly Analyze Results

Hypothesis Testing Normal Data Part 2

Be able to conduct Hypothesis Testing of Variances

Understand how to Analyze Hypothesis Testing Results

Hypothesis Testing Non-Normal Data Part 1

Conduct Hypothesis Testing for equal variance

Conduct Hypothesis Testing for Medians

Analyze and interpret the results

Hypothesis Testing Non-Normal Data Part 2

Calculate and explain test for proportions

Calculate and explain contingency tests

LSS Green Belt Improve Phase

Phase Description:

The Improve Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions. There are five modules in this phase:

Welcome to Improve

Process Modeling Regression

Perform the steps in a Correlation and a Regression Analysis

Explain when Correlation and Regression is appropriate

Advanced Process Modeling

Perform Non-Linear Regression Analysis

Perform Multiple Linear Regression Analysis (MLR)

Examine Residuals Analysis and understand its effects

Designing Experiments

Determine the reason for experimenting

Describe the difference between a physical model and a DOE model

Explain an OFAT experiment and its primary weakness

Shown Main Effects Plots and interactions, determine which effects and interactions may be significant

Create a Full Factorial Design

LSS Green Belt Control Phase

Phase Description:

The Control Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions. There are eight modules in this phase:

Welcome to Control

Advanced Experiments

Use the results of a DOE to determine how to further optimize a process using the steepest ascent/descent method

Capability Analysis

Understand the importance of Capability Analysis as it is applied in the Control Phase

Select the appropriate method for Capability Analysis based on the type of data distribution of your process

Interpret the output of MINITAB’s Capability functions

Understand how the use for Capability Analysis may alter through the DMAIC phases

Lean Controls

Describe Lean tools

Understand how these tools can help with project sustainability

Understand how the Lean tools depends on each other

Understand how tools must document the defect prevention created in the Control Phase

Defect Controls

Describe some methods of defect prevention

Understand how these techniques can help with project sustainability

Including reducing those outliers as seen in the Advanced Process Capability section

If the vital X was identified, prevent the cause of defective Y

Understand what tools must document the defect prevention created in the Control Phase

Statistical Process Control - SPC

Describe the elements of an SPC Chart and the purposes of SPC

Understand how SPC ranks in defect prevention

Describe the 9 Step route or methodology of implementing a chart

Design subgroups if needed for SPC usage

Determine the frequency of sampling

Understand the Control Chart selection methodology

Be familiar with Control Chart parameter calculations such as UCL, LCL and the Center Line